Ethical Considerations In Machine Learning Projects
Don’t forget these topics when building AI systems Using sensitive data, discrimination based on personal information, model outputs that affect peoples lives… There are many different ways harm can be done with a data product or machine learning model. Unfortunately, there are many examples where it did go wrong. On the other hand, many projects […]
Data Lineage Demystified
Trusting big data requires understanding its data lineage. Without data lineage, big data becomes synonymous with the last phrase in a game of telephone. The original data from the first person (e.g., “a guppy swims in a shark tank”) changes to something completely different when it ends with the last person (e.g., “The puppy that […]
¿Por qué es tan difícil convertirse en una organización basada en datos?
Las empresas llevan muchos años trabajando para basarse más en los datos, con resultados dispares. Estos esfuerzos se desarrollan con el tiempo en las organizaciones y la persistencia, la resiliencia, la ejecución y un impulso implacable por emplear los datos para tomar decisiones empresariales más informadas son lo que distingue a las empresas que prevalecen […]
Data Democratization Tops List of Data-Centric Trends for 2023
Organizations are always looking to do more with their data. Here are three data-centric areas enterprises will likely focus on in 2023. The data industry is continuing to grow at an unprecedented rate. The past year has seen some monumental developments in the data analytics and warehousing space, thanks in no small part to the […]
The Outlook for Data Warehouses in 2023: Hyperscale Data Analysis at a Cost Advantage
The challenge for business leaders as they look to build on digital transformations is not that they need more data for decision-making. Most businesses already have enough data — and it just keeps growing. What organizations really need are better ways to manage the terabytes, petabytes, and, in some cases, exabytes of data being generated […]
Why It’s Time to Consider a Hyperscale Approach to Data Analytics and Operational Intelligence
The explosion of machine-generated data is driving enterprises to adopt strategies and tools to harness data and leverage operational intelligence at hyperscale. The amount of data generated by an increasingly digital and digitized world continues to grow at an unprecedented rate. According to Matt Aslett, VP and research director at Ventana Research, “Through 2024, six in […]
Data Ethics: New Frontiers in Data Governance
Would you feel comfortable serving as a Data Governance consultant for an organized crime family … but not for a brokerage with tax fraud in its past? Could the use of ransomware be considered socially acceptable if its demands benefitted needy children? These hypotheticals might sound outrageous – and indeed, they are meant to be […]
How Data Can Solve The Hidden Diversity Issues In Modern Corporate America
The words diversity, equity and inclusion are a common sight among PowerPoint presentations shown at quarterly target meetings across the globe. It’s a subject that, despite protests from the fringe, has become a matter of urgency among start-ups. Especially those looking for VC money, which is practically all of them. Even Tim Cook, the CEO […]
Data Mesh: Topologies and domain granularity
The past year at Microsoft has been interesting to say the least! I’ve participated countless customer conversations, workshops and architecture design sessions. During these customer interactions, Data Mesh has often been a central subject of debate. What I’ve learned is that data mesh is relatively a new subject. It’s a concept that must be shaped […]
SCM and Role of AI
Introduction: Business organizations exist to make a profit out of their business. If there is no profit, then there is no meaning in running a business. Supply Chain Management (SCM)’s main objective is to create a profitable SCM. The higher the SCM profitability, the more successful the SCM is. In current work, to be competitive […]
